An Ensemble of Convolutional Neural Networks for Sound Event Detection
Sound event detection tasks are rapidly advancing in the field of pattern recognition, and deep learning methods are particularly well suited for such tasks. One of the important directions in this field is to detect the sounds of emotional events around residential buildings in smart cities and qui...
Saved in:
| Main Authors: | Abdinabi Mukhamadiyev, Ilyos Khujayarov, Dilorom Nabieva, Jinsoo Cho |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/9/1502 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sound quality impacts dogs’ ability to recognize and respond to playback words
by: Fumi Higaki, et al.
Published: (2025-04-01) -
Group feature calibration for sound event detection
by: Yanzhen Ren, et al.
Published: (2025-06-01) -
Estimating Ensemble Location and Width in Binaural Recordings of Music with Convolutional Neural Networks
by: Paweł ANTONIUK, et al.
Published: (2025-02-01) -
w2v-SELD: A Sound Event Localization and Detection Framework for Self-Supervised Spatial Audio Pre-Training
by: Orlem Lima Dos Santos, et al.
Published: (2024-01-01) -
16th International Symposium on Sound Engineering and Tonmeistering
by: 16th International Symposium Sound Engineering and Tonmeistering
Published: (2016-02-01)